Open Source Time Series Databases Tools

Distributed SQL database designed for high-speed ingestion and complex queries on massive datasets, ideal for IoT and time-series data.

Distributed SQL database designed for high-speed ingestion and complex queries on massive datasets, ideal for IoT and time-series data. It is positioned as an open-source alternative to Snowflake, RedShift, BigQuery, PlanetScale. Primary category: Relational Databases (SQL). Detected stack: Github Actions, Bash, Python, Codecov, Java, Vale. Review the imported record before publishing or editing SEO copy.

Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integra

Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration. Primary category: Monitoring & Observability. Detected stack: JavaScript, Github Actions, NodeJS, Bash, Typescript, Docker. Review the imported record before publishing or editing SEO copy.

Extend PostgreSQL for time-series data with automatic partitioning, scalable ingestion, and advanced analytics for mission-critical applications.

Extend PostgreSQL for time-series data with automatic partitioning, scalable ingestion, and advanced analytics for mission-critical applications. It is positioned as an open-source alternative to Snowflake, MongoDB, Kdb+, Amazon Timestream. Primary category: Relational Databases (SQL). Detected stack: Github Actions, Bash, Python, C, Objective-C, Codecov. Review the imported record before publishing or editing SEO copy.